Merge branch 'hotfix/remove-warnings'

Author: JaeyeongYang

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: hBayesDM
 Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
-Version: 0.7.0
-Date: 2018-12-14
+Version: 0.7.1
+Date: 2019-01-21
 Author:
     Woo-Young Ahn [aut, cre],
     Nate Haines [aut],
@@ -21,11 +21,12 @@ Description:
     Fit an array of decision-making tasks with computational models in
     a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of
     various computational models with a single line of coding.
+    Ahn et al. (2018) <doi:10.1162/CPSY_a_00002>
 Depends:
-    R (>= 3.4.0)
-Imports:
-    methods,
+    R (>= 3.4.0),
     Rcpp (>= 0.12.0),
+    methods
+Imports:
     rstan (>= 2.18.1),
     loo (>= 2.0),
     grid,

NEWS.md

@@ -1,3 +1,8 @@
+# hBayesDM 0.7.1
+
+* Make it usable without manually loading `rstan`.
+* Remove an annoying warning about using `..insensitive_data_columns`.
+
 # hBayesDM 0.7.0
 
 * Now, in default, you should build a Stan file into a binary for the first time to use it. To build all the models on installation, you should set an environmental variable `BUILD_ALL` to `true` before installation.

R/hBayesDM_model.R

@@ -170,7 +170,6 @@ hBayesDM_model <- function(task_name,
     colnames_raw_data <- colnames(raw_data)
 
     # Check if necessary data columns all exist (while ignoring case and underscores)
-    ..insensitive_data_columns <- NULL  # To avoid NOTEs by R CMD check
     insensitive_data_columns <- tolower(gsub("_", "", data_columns, fixed = TRUE))
     colnames(raw_data) <- tolower(gsub("_", "", colnames(raw_data), fixed = TRUE))
     if (!all(insensitive_data_columns %in% colnames(raw_data))) {
@@ -179,7 +178,7 @@ hBayesDM_model <- function(task_name,
     }
 
     # Remove only the rows containing NAs in necessary columns
-    complete_rows       <- complete.cases(raw_data[, ..insensitive_data_columns])
+    complete_rows       <- complete.cases(raw_data[, insensitive_data_columns, with = FALSE])
     sum_incomplete_rows <- sum(!complete_rows)
     if (sum_incomplete_rows > 0) {
       raw_data <- raw_data[complete_rows, ]

README.md

@@ -55,15 +55,6 @@ install.packages("hBayesDM")  # Install from CRAN
 devtools::install_github("CCS-Lab/hBayesDM")  # Install from GitHub
 ```
 
-### Caveats
-
-Before you load `hBayesDM`, you should load `rstan` to make sampling properly work.
-
-```r
-library(rstan)
-library(hBayesDM)
-```
-
 ### Quick Links
 
 - **Tutorial**: http://rpubs.com/CCSL/hBayesDM